The objective of this tutorial is to demonstrate how to create composable models for robots. Here, we focus on a simple kinematic chain with one degree of freedom (DoF) because (i) kinematic chains ...

Dimensional modelling is one of many data modelling techniques that are used by data practitioners to organize and present data for analytics. Other data modelling techniques include Data Vault (DV), ...

Specialised software has been used to create the digital blueprint of the bridge structures, which is known as the bridge modelling procedure. The Autodesk AutoCAD software has been used to make 3D ...

Sometimes at the end of Mar this year, I penned "Texthero: A merry-go-round to heroism Part1", hoping to post Part 2. I did code Part 2, which led me to other tools (or should I be pythonic by saying ...

A one-week Blender challenge explores the process of learning 3D modelling under a tight time limit. The video focuses on ...

Abstract: Data-driven Quality of Experience (QoE) modeling using Machine Learning (ML) is a key enabler for future communication networks as it allows accelerated and unbiased QoE modeling while ...

Abstract: Meta-analytic structural equation modeling (MASEM) is a new research field, which can help to explain the relationship between a group of variables in several studies by testing a structural ...

ABSTRACT: In this paper, a novel harmonic modeling technique by utilizing the concept of multi-terminal components is presented and applied to frequency scan analysis in multiphase distribution system ...